Core concepts behind neural networks and deep learning

Heroku for deep learning

A startup called Floyd has developed a cloud service for deep learning, a trendy type of artificial intelligence that entails training artificial neural networks on data and then getting them to make inferences about new data. Yesterday Floyd's founders talked about their product onstage at Silicon Valley accelerator Y Combinator's demo day.

Can a neural network learn to recognize doodles?

Low-latency inference of on-device ML models

TensorFlow’s lightweight solution for mobile and embedded devices. TensorFlow has always run on many platforms but as the adoption of ML models has grown exponentially over the last few years, so has the need to deploy them on mobile and embedded devices. TensorFlow Lite enables low-latency inference of on-device machine learning models.

Google Developers Blog

Posted by the TensorFlow team It is designed from scratch to be: Lightweight Enables inference of on-device machine learning models with a small binary size and fast initialization/startup Cross-platform A runtime designed to run on many different platforms, starting with Android and iOS Fast Optimized for mobile devices, including dramatically improved mode…See more